7:45-8:25 Check-In and Light Breakfast
8:30 sharp Welcoming Remarks
8:40 Contemporary Quantum Computing and Quantum Machine Learning
Peter Wittek, Assistant Professor and Academic Director - Quantum Program, Creative Destruction Lab and Data Scientist - TD Management Data and Analytics Lab, Rotman School of Management, University of Toronto
9:10 Quantum Annealing for Commercial Applications
Alan Baratz, EVP - R&D and Chief Product Officer, D-Wave
9:40 Opportunities in Universal Quantum Computing
Ryan Karle, Head of Customer Success, Rigetti
10:10-10:30 Coffee Break
10:30 Quantum Chemistry and Machine Learning
Alán Aspuru-Guzik, Professor, University of Toronto; Faculty Member, Vector Institute for Artificial Intelligence; CSO, Zapata Computing; CVO, Kebotix
11:00 Material Discovery and Quantum Computing Today
Michael Helander, President and CEO, OTI Lumionics
11:35 Quantum Machine Learning in Automated Warehouses
Wojtek Burkot, Co-Founder and Chief Physics Officer, Beit.tech
12:00 Panel Discussion
Panel Moderator: Avi Goldfarb, Rotman Chair in Artificial Intelligence and Healthcare, Ellison Professor of Marketing and Chief Data Scientist -Creative Destruction Lab, Rotman School of Management, University of Toronto
12:28 Closing Remarks
ABOUT THE SPEAKERS:
Alán Aspuru-Guzik’s research lies at the interface of computer science with chemistry and physics. He works in the integration of robotics, machine learning and high-throughput quantum chemistry for the development of materials acceleration platforms. These “self-driving laboratories” promise to accelerate the rate of scientific discovery, with applications to clean energy and optoelectronic materials. Alán also develops quantum computer algorithms for quantum machine learning and has pioneered quantum algorithms for the simulation of matter. He is jointly appointed as a Professor of Chemistry and Computer Science at the University of Toronto. Previously, he was a full professor at Harvard University. Alán is also a Co-Founder of Zapata Computing and Kebotix, two early-stage ventures in quantum computing and self-driving laboratories respectively.
Alan Baratz is Executive Vice President, R&D and Chief Product Officer at D-Wave Systems. Dr. Baratz drives the development, delivery and support of all D-Wave products, technologies and applications. Dr. Baratz has over 25 years of experience in software and product development at large technology companies, software startups, and private equity firms. As the first president of JavaSoft at Sun Microsystems, he oversaw the growth and adoption of the Java platform from its infancy to a robust platform supporting mission-critical applications in nearly 80 percent of Fortune 1000 companies. He has also held executive positions at Symphony, Avaya, Cisco, and IBM; was CEO and president of Versata, Zaplet, and NeoPath Networks; and served as managing director at E.M. Warburg, Pincus & Co. Baratz holds a doctorate in computer science from the Massachusetts Institute of Technology.
Wojciech Burkot is Co-Founder and Chief Physics Officer at Beit.tech, developing quantum algorithm designed to solve NP-complete problems. He is an Angel Investor, Advisor and Board Member for several startups including Egzotech, Azimo, Airly and others. Previously, he was Chief Technology Officer at Grupa Allegro responsible for Marketplace division. He ran development of technology, focusing on Mobile and Big Data. He moved to Allegro from Google R&D Center in Krakow, which he was Site Lead and Engineering Director since 2006. Prior to Google, Wojtek worked in a number of roles at Motorola. Earlier in his career, he was an Assistant Professor of Computer Science at AGH in Kraków and a researcher at Institute of Nuclear Physics. Wojtek has a PhD in Physics from the Jagiellonian University.
Michael Helander is President and CEO of OTI Lumionics Inc., an advanced materials company developing advanced materials to solve large-scale industrial problems using its proprietary Materials Discovery Platform. The platform combines computational materials design, quantum simulations and machine learning to accelerate the development of new materials needed for impactful industrial solutions. The platform includes closed-loop feedback from lab scale testing data, production data and field trial testing data, allowing mass production-ready advanced materials to be rapidly developed with minimal capital. The company is initially targeting the advanced display materials market, a $25 billion opportunity by 2023 that will see compound annual growth of 20 per cent. Michael received a B.A.Sc. degree in Engineering Science and Ph.D. degree in Materials Science & Engineering from the University of Toronto. Michael has published 104 peer reviewed publications on the topic of advanced materials and related fields.
Ryan Karle is a Technical Product Manager at Rigetti Computing, covering programmatic interfaces and low-level architecture for quantum computers. As head of research partnerships, Ryan facilitated research from user groups at major academic institutions and national laboratories, culminating in over twenty-five major technical publications this year.
Peter Wittek is an Assistant Professor in the Rotman School of Management, University of Toronto and Academic Director of the Quantum Machine Learning Initiative in the Creative Destruction Lab. He is also affiliated with the Vector Institute for Artificial Intelligence and the Perimeter Institute for Theoretical Physics. He obtained his PhD from the National University of Singapore and his research explores the synergies between artificial intelligence, machine learning, quantum information theory, and quantum computing. He published the book "Quantum Machine Learning: What Quantum Computing Means to Data Mining", the first monograph on the subject.
SERIES HOST: TD Management Data and Analytics Lab at Rotman
SESSION CO-HOST: Creative Destruction Lab
QUESTIONS: Megan Murphy | firstname.lastname@example.org | (416) 978-6122